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Using classification trees to analyze the impact of exotic species on the ecological assessment of polder lakes in Flanders, Belgium

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  • Everaert, Gert
  • Boets, Pieter
  • Lock, Koen
  • Džeroski, Sašo
  • Goethals, Peter L.M.

Abstract

Polder lakes in Flanders are stagnant waters that were flooded by the sea in the past. Several of these systems are colonized by exotic species, but have hardly been studied until present. The aim of the present study was: (1) to assess the influence of exotic macrobenthic species on the outcome of the Multimetric Macroinvertebrate Index Flanders (MMIF) and (2) to use classification trees for evaluating to what extent physical–chemical characteristics affect the presence of exotic species.

Suggested Citation

  • Everaert, Gert & Boets, Pieter & Lock, Koen & Džeroski, Sašo & Goethals, Peter L.M., 2011. "Using classification trees to analyze the impact of exotic species on the ecological assessment of polder lakes in Flanders, Belgium," Ecological Modelling, Elsevier, vol. 222(14), pages 2202-2212.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:14:p:2202-2212
    DOI: 10.1016/j.ecolmodel.2010.08.013
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    References listed on IDEAS

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    1. Mouton, Ans M. & De Baets, Bernard & Van Broekhoven, Ester & Goethals, Peter L.M., 2009. "Prevalence-adjusted optimisation of fuzzy models for species distribution," Ecological Modelling, Elsevier, vol. 220(15), pages 1776-1786.
    2. Lovell, Sabrina J. & Stone, Susan F. & Fernandez, Linda, 2006. "The Economic Impacts of Aquatic Invasive Species: A Review of the Literature," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 35(1), pages 1-14, April.
    3. Seong-Keon Lee & Seohoon Jin, 2006. "Decision tree approaches for zero-inflated count data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(8), pages 853-865.
    4. Lovell, Sabrina J. & Stone, Susan F. & Fernandez, Linda, 2006. "The Economic Impacts of Aquatic Invasive Species: A Review of the Literature," Agricultural and Resource Economics Review, Cambridge University Press, vol. 35(1), pages 195-208, April.
    5. Merckx, Bea & Goethals, Peter & Steyaert, Maaike & Vanreusel, Ann & Vincx, Magda & Vanaverbeke, Jan, 2009. "Predictability of marine nematode biodiversity," Ecological Modelling, Elsevier, vol. 220(11), pages 1449-1458.
    6. Pimentel, David & Zuniga, Rodolfo & Morrison, Doug, 2005. "Update on the environmental and economic costs associated with alien-invasive species in the United States," Ecological Economics, Elsevier, vol. 52(3), pages 273-288, February.
    7. Kocev, Dragi & Džeroski, Sašo & White, Matt D. & Newell, Graeme R. & Griffioen, Peter, 2009. "Using single- and multi-target regression trees and ensembles to model a compound index of vegetation condition," Ecological Modelling, Elsevier, vol. 220(8), pages 1159-1168.
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    Cited by:

    1. Forio, Marie Anne Eurie & Landuyt, Dries & Bennetsen, Elina & Lock, Koen & Nguyen, Thi Hanh Tien & Ambarita, Minar Naomi Damanik & Musonge, Peace Liz Sasha & Boets, Pieter & Everaert, Gert & Dominguez, 2015. "Bayesian belief network models to analyse and predict ecological water quality in rivers," Ecological Modelling, Elsevier, vol. 312(C), pages 222-238.
    2. Holguin-Gonzalez, Javier E. & Boets, Pieter & Alvarado, Andres & Cisneros, Felipe & Carrasco, María C. & Wyseure, Guido & Nopens, Ingmar & Goethals, Peter L.M., 2013. "Integrating hydraulic, physicochemical and ecological models to assess the effectiveness of water quality management strategies for the River Cuenca in Ecuador," Ecological Modelling, Elsevier, vol. 254(C), pages 1-14.
    3. Mi-Young Kim & Sang-Woo Lee, 2021. "Regression Tree Analysis for Stream Biological Indicators Considering Spatial Autocorrelation," IJERPH, MDPI, vol. 18(10), pages 1-19, May.

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